• DocumentCode
    1632334
  • Title

    DOA estimation of nonstationary sources with time-frequency maximum likelihood method

  • Author

    Tian, Da ; Huang, Keji ; Chen, Tianqi

  • Author_Institution
    Coll. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • Volume
    2
  • fYear
    2004
  • Firstpage
    835
  • Abstract
    Direction finding of nonstationary signals using an antenna array is of growing interest in. the signal processing community. We develop a time-frequency maximum likelihood method based on cross pseudo Wigner-Ville distributions (PWVDs) between the array signal vector and the satellite sensor output to obtain the DOA estimates. Compared with methods based on STFD (spatial time-frequency distribution) matrices, the proposed method can make full use of the crossterm TFDs between sources, and signal selective direction finding can be realized with much simpler computation. Moreover, the proposed method can handle signals with the same time-frequency signature. Numerical simulations are provided to demonstrate the validity of the method.
  • Keywords
    Wigner distribution; antenna arrays; array signal processing; direction-of-arrival estimation; matrix algebra; maximum likelihood estimation; radio direction-finding; time-frequency analysis; DOA estimation; antenna array; array signal vector; cross pseudo Wigner-Ville distributions; crossterm time-frequency distributions; nonstationary sources; satellite sensor output; signal selective direction finding; spatial time-frequency distribution matrices; time-frequency maximum likelihood method; time-frequency signature; Antenna arrays; Array signal processing; Direction of arrival estimation; Directive antennas; Distributed computing; Maximum likelihood estimation; Numerical simulation; Satellites; Sensor arrays; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Circuits and Systems, 2004. ICCCAS 2004. 2004 International Conference on
  • Print_ISBN
    0-7803-8647-7
  • Type

    conf

  • DOI
    10.1109/ICCCAS.2004.1346310
  • Filename
    1346310